Automated on-site productivity evaluation using RFID and GPS
Abstract
Productivity, a powerful tool to measure and improve performance, has been evolving for more than 30 years in the U.S. construction industry. However, its usage is comparatively low compared to other industries. This low usage has been attributed to the nature of the construction industry, the resistance of human nature to change, and the nature of manual evaluation methods. Some manual productivity evaluation methods, such as on-site project control systems, have been performed on construction sites for years; yet, they are human error prone and approximate in nature. Other manual productivity evaluation methods are costly and are not delivered in a timely manner, which prevents managers from providing timely responses and coordination of on-site project control during the projects, such as mitigating the damage caused by discrepancies and unnecessary delays between tasks. This research proposes an automatic data collection method to evaluate on-site productivity in a timely and accurate manner. Utilizing advanced technologies, such as Radio Frequency Identification (RFID), Global Position System (GPS), and mobile devices, the generic on-site Automatic Productivity Evaluation (APE) system is constructed to deliver timely productivity evaluations at both the macro level (activity) and the micro level (personnel). It is designed to complement manual productivity data collection methods, validate manhours spent, and material quantities installed for on-going activities, and facilitate on-site project management.
Degree
Ph.D.
Advisors
Chang, Purdue University.
Subject Area
Civil engineering
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